Development and Mapping of PCR‐Based SCAR and CAPS Markers Linked to Oil QTLs in Oat
Bibliographic record
Abstract
ABSTRACT Oat cultivars (Avena sativa L.) are unusually diverse in groat oil content, and breeding for this trait can increase the value of oat in human and livestock diets. Seven random amplified polymorphic DNA (RAPD) fragments closely linked or tentatively linked to quantitative trait loci (QTLs) for oil content in the ‘Terra’ × ‘Marion’ (TM) or the ‘Kanota’ × ‘Ogle’ (KO) hexaploid oat mapping populations were used to develop more robust sequence characterized amplified region (SCAR) or cleaved amplified polymorphic sequence (CAPS) markers. Three SCAR and two CAPS markers mapped on the TM population to the same map locations as the corresponding RAPD markers. One SCAR marker mapped to a homeologous TM linkage group (LG). The last two SCAR markers were mapped to regions that are currently not known to be orthologous to the original RAPD locations. All SCAR and CAPS markers were also tested in two additional high × low oil content populations. These SCAR markers have potential utility for marker‐assisted selection (MAS) for high and low oil germplasm in oat breeding programs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".